# to reference the most recent versions of the SIG Build Docker images.
name: Update RBE Configs
on:
  workflow_dispatch:

permissions:
  contents: read

jobs:
  rbe:
    name: Update RBE Configs
    runs-on: ubuntu-latest
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    steps:
    - name: Checkout code
      uses: actions/checkout@1af3b93b6815bc44a9784bd300feb67ff0d1eeb3 # v6.0.0

struct {
	T1        // field name is T1
	*T2       // field name is T2
	P.T3      // field name is T3
	*P.T4     // field name is T4
	x, y int  // field names are x and y
}
</pre>

<p>
The following declaration is illegal because field names must be unique
in a struct type:
</p>

<pre>
struct {
	T     // conflicts with embedded field *T and *P.T

      the terms of any separate license agreement you may have executed
      with Licensor regarding such Contributions.

   6. Trademarks. This License does not grant permission to use the trade
      names, trademarks, service marks, or product names of the Licensor,
      except as required for reasonable and customary use in describing the
      origin of the Work and reproducing the content of the NOTICE file.

                          const char* name = "scalar");

TF_Operation* ScalarConst(double v, TF_Graph* graph, TF_Status* s,
                          const char* name = "scalar");

TF_Operation* ScalarConst(float v, TF_Graph* graph, TF_Status* s,
                          const char* name = "scalar");

TF_Operation* Add(TF_Operation* l, TF_Operation* r, TF_Graph* graph,
                  TF_Status* s, const char* name = "add");

        fw.println("# * Inside the same file: <<(#)section-name(,text)>>");
        fw.println("# * To a different file: <<other-file(.adoc)#section-name,text>> - Note that the # and section are mandatory, otherwise the link is invalid in the single page output");
        fw.println("#");
        fw.println("# The checker does not handle implicit section names, so they must be explicit and declared as: [[section-name]]");
        fw.println("#");

		for _, db := range stmt.Schema.DBNames {
			if field := stmt.Schema.FieldsByDBName[db]; !field.HasDefaultValue || field.DefaultValueInterface != nil {
				if v, ok := selectColumns[db]; (ok && v) || (!ok && (!restricted || field.AutoCreateTime > 0 || field.AutoUpdateTime > 0)) {
					values.Columns = append(values.Columns, clause.Column{Name: db})
				}
			}
		}

		},
		3: {bucketName: "a", objName: "obj", inputData: []byte(""), expectedError: BucketNameInvalid{Bucket: "a"}},

		// Case with invalid object names.
		4: {bucketName: bucket, inputData: []byte(""), expectedError: ObjectNameInvalid{Bucket: bucket, Object: ""}},

		// Valid object and bucket names but non-existent bucket.
		5: {bucketName: "abc", objName: "def", inputData: []byte(""), expectedError: BucketNotFound{Bucket: "abc"}},

	const fin = true
	var frame ws.Frame
	if s.ClientSide() {
		// We do not need to copy the payload, since we own it.
		payload := p

		frame = ws.NewFrame(op, fin, payload)
		frame = ws.MaskFrameInPlace(frame)
	} else {
		frame = ws.NewFrame(op, fin, p)
	}

	return ww.writeFrame(w, frame)
}

// writeFrame writes frame binary representation into w.

func (in *Input) define() {
	name := in.macroName()
	args, tokens := in.macroDefinition(name)
	in.defineMacro(name, args, tokens)
}

// defineMacro stores the macro definition in the Input.
func (in *Input) defineMacro(name string, args []string, tokens []Token) {
	if in.macros[name] != nil {
		in.Error("redefinition of macro:", name)
	}
	in.macros[name] = &Macro{
		name:   name,
		args:   args,
		tokens: tokens,

	// if tlsConfig != nil {
	// 	trhttp2, _ := http2.ConfigureTransports(tr)
	// 	if trhttp2 != nil {
	// 		// ReadIdleTimeout is the timeout after which a health check using ping
	// 		// frame will be carried out if no frame is received on the
	// 		// connection. 5 minutes is sufficient time for any idle connection.
	// 		trhttp2.ReadIdleTimeout = 5 * time.Minute